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→意识程度的度量
为了将IIT形式主义应用于系统，必须知道系统的概率转移矩阵（TPM）。TPM规定了所有系统状态转换的几率。以下每个参量是根据系统的TPM，以自下而上的方式计算。
为了将IIT形式主义应用于系统，必须知道系统的概率转移矩阵（TPM）。TPM规定了所有系统状态转换的几率。以下每个参量是根据系统的TPM，以自下而上的方式计算。
A system is described by its [[transition probability matrix]] (TPM), denoted <math>T_U = p(\mathbf{u}' \mid \mathbf{u})</math>, over all its possible states. From this, IIT defines:<ref name=":1" />
''Intrinsic information'' (ii) for a state s over a possible cause/effect state <math>\tilde{s}</math>:
<math> \text{ii}(s, \tilde{s}) = p(\tilde{s} \mid s) \log_2 \left( \frac{p(\tilde{s} \mid s)}{p(\tilde{s})} \right) </math>
''Integrated information'' (φ) as the irreducibility of that cause–effect structure across the minimum information partition (MIP):
<math> \phi = \min_{\theta} \left[ \text{ii}(s, \tilde{s}) - \text{ii}_{\theta}(s, \tilde{s}) \right] </math>
''Complexes'' are defined as the systems (subsets of units) that locally maximize φ. Their internal distinctions and relations form the Φ-structure of the system:
<math> \Phi = \sum_{\text{distinctions, relations}} \phi </math>
<math>\Phi</math> corresponds to the ''quantity'' of consciousness, while the particular structure of distinctions and relations defines its ''quality''.
=== 布尔网络上的案例 ===
=== 布尔网络上的案例 ===